Pith Number
pith:M3U2A7SB
pith:2019:M3U2A7SB5VLR4ZLMI45JIHI4D2
not attested
not anchored
not stored
refs pending
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control
arxiv:1908.10577 v3 · 2019-08-28 · cs.MA · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M3U2A7SB5VLR4ZLMI45JIHI4D2}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T01:55:06.524782Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66e9a07e41ed571e656c473a941d1c1eaafd94e6a7a7882de9bb638e0540d1b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M3U2A7SB5VLR4ZLMI45JIHI4D2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 66e9a07e41ed571e656c473a941d1c1eaafd94e6a7a7882de9bb638e0540d1b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2486e2954daf3c3c20981d81c5c4b94b4607bf075c7b0ccec0dc35dcb1361bf4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.MA",
"submitted_at": "2019-08-28T07:16:39Z",
"title_canon_sha256": "eda8a1c4e0a281f674a30ac367aafda8888d5c9489e7088be8b5ca093234e2f9"
},
"schema_version": "1.0",
"source": {
"id": "1908.10577",
"kind": "arxiv",
"version": 3
}
}